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Word sense disambiguation for Arabic text categorization
Joint Authors
Hadni, Maryam
al-Alawi, Said
Lashkar, Abd al-Munim
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 1A(s) (31 Dec. 2016), pp.215-222, 8 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, we present two contributions for Arabic Word Sense Disambiguation.
In the first one, we propose to use both two external resources Arabic WordNet (AWN) and WN based on term to term Machine Translation System (MTS).
The second contribution consists of choosing the nearest concept for the ambiguous terms, based on more relationships with different concepts in the same local context.
To evaluate the accuracy of our proposed method, several experiments have been conducted using Feature Selection methods; Chi-Square and CHIR, two machine learning techniques; the Naïve Bayesian (NB) and Support Vector Machine (SVM).The obtained results illustrate that using the proposed method increases greatly the performance of our Arabic Text Categorization System
American Psychological Association (APA)
Hadni, Maryam& al-Alawi, Said& Lashkar, Abd al-Munim. 2016. Word sense disambiguation for Arabic text categorization. The International Arab Journal of Information Technology،Vol. 13, no. 1A(s), pp.215-222.
https://search.emarefa.net/detail/BIM-758301
Modern Language Association (MLA)
Hadni, Maryam…[et al.]. Word sense disambiguation for Arabic text categorization. The International Arab Journal of Information Technology Vol. 13, no. 1A (2016), pp.215-222.
https://search.emarefa.net/detail/BIM-758301
American Medical Association (AMA)
Hadni, Maryam& al-Alawi, Said& Lashkar, Abd al-Munim. Word sense disambiguation for Arabic text categorization. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 1A(s), pp.215-222.
https://search.emarefa.net/detail/BIM-758301
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 222
Record ID
BIM-758301